No need to mkdir /config, update readme

readme-vars.yml

@@ -6,16 +6,12 @@ project_url: "https://foldingathome.org/"
 project_logo: "https://foldingathome.org/wp-content/uploads/2016/09/folding-at-home-logo.png"
 project_blurb: "[Folding@home]({{ project_url }}) is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics."
 project_lsio_github_repo_url: "https://github.com/linuxserver/docker-{{ project_name }}"
-project_blurb_optional_extras_enabled: false
 
 # supported architectures
 available_architectures:
   - { arch: "{{ arch_x86_64 }}", tag: "latest"}
   - { arch: "{{ arch_arm64 }}", tag: "arm64v8-latest"}
 
-# development version
-development_versions: false
-
 # container parameters
 common_param_env_vars_enabled: true
 param_container_name: "{{ project_name }}"
@@ -38,6 +34,8 @@ opt_param_device_map: false
 opt_param_devices:
   - { device_path: "/dev/dri", device_host_path: "/dev/dri", desc: "Only needed if you want to use your Intel GPU (vaapi)." }
 
+readonly_supported: true
+
 # application setup block
 app_setup_block_enabled: true
 app_setup_block: |
@@ -56,11 +54,11 @@ app_setup_block: |
   Unlike v7, v8 no longer bundles a local webgui. The web app is loaded from an online source and can only auto-detect instances that are running on the same machine (bare metal) as the browser. This is not possible in a docker container. Therefore, upgrading to v8 requires registering for an online account, retrieving the account token and setting it in the new env var `ACCOUNT_TOKEN`, along with a friendly name in `MACHINE_NAME`.
 
   ## GPU Hardware Acceleration
-  
+
   ### Nvidia
-  
+
   Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
-  https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html  
+  https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
   We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia container toolkit is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the foldingathome docker container.
 
 # changelog

root/etc/s6-overlay/s6-rc.d/init-foldingathome-config/run

@@ -1,9 +1,6 @@
 #!/usr/bin/with-contenv bash
 # shellcheck shell=bash
 
-# create folders
-mkdir -p /config
-
 # permissions on config root and folders
 lsiown -R abc:abc \
     /config